DP Technology provides scientific simulation platforms for research in biomedicine, energy, materials and other industries. Science simulation workflows are inherently complex and resource-intensive, and manual deployment is often prone to errors. After adopting Argo workflows to orchestrate science simulation, we get productivity 100% improvement. In this talk, we will introduce why chose Argo Workflow, how to orchestrate large-scale tasks of science simulation, how to make whole system scalability and reliability. Specially, we will share best practice about how manage super large workflow (thousands of tasks), how to do reasonable workflow retry, how to use memorization to reduce runtime and compute cost, how to interact with HPC systems. We also made contributions to Argo community to enhance functionalities and improve reliability. Additionally, we'll introduce DFlow, our open-source Python SDK designed for the seamless orchestration of scientific simulations with Argo Workflows.